ML and Data Ops Intern
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Job Location:
San Jose, CA - USA
Monthly Salary:
Not Disclosed
Posted on:
10 days ago
Vacancies:
1 Vacancy
Job Summary
At Mercedes-Benz Research & Development North America (MBRDNA) we are committed to delivering world-class automotive technologies that push the boundaries of what is possible. Our teams of highly skilled engineers and designers use cutting-edge software and technology to enhance the driving experience and reduce environmental impact.
The Mercedes-Benz AI Experiences team is seeking a Data Science Intern to join our ML Product Development Team for Summer 2026. In this role you will help enhance our ML/Analytics workflows to support a diverse range of use cases powering projects that shape the future of Mercedes-Benz vehicles. You will help transform experimental data science workflows into scalable production-ready systems by streamlining codebases and building robust data and ML this role youll develop and optimize tooling and infrastructure that support the full model lifecycle experimentation CI/CD deployment validation and monitoring while ensuring code quality reliability and maintainability. Working closely with cross-functional teams you will contribute to delivering next-generation infotainment and telematics solutions to customers of Mercedes-Benz while upholding strong data privacy standards and responsible AI practices.
Job Responsibilities:
- Streamline and productionize data science workflows by refactoring ad hoc code into scalable maintainable ML pipelines and shared libraries
- Continuously evaluate the latest packages and frameworks in the ML ecosystem
- Enhance error detection and monitoring capabilities for training pipelines
- Improve observability by adding robust error handling logging and monitoring across data and training pipelines
- Work in an Agile/Scrum environment to deliver high quality software with a measurable customer value
- Assist in research topics through multiple phases related to automotive machine learning solutions: experimentation and validation proof of concept tuning and constraint adjustment and testing strategies
- Provide support and insight to development teams responsible for implementation of machine learning techniques in native head unit environment
- Present and demo research topics to Mercedes-Benz internal groups
Minimum Qualifications:
- Masters or higher degree in DS/CS/CE/EE Math Statistics or related field
- Strong programming and software development skills in Python SQL and Git
- Hands-on experience with implementation analysis and updating machine learning and AI algorithms
- Experience designing dashboards for system analysis and data insights
- Good understanding of Machine Learning fundamentals
- Strong instincts for efficiency and optimization with self-motivation to work with colleagues such that only high-quality products reach customers hands
- Ability to collaborate effectively and pro-actively in cross functional development teams
- Excellent communication especially written and organizational skills
Preferred Qualifications:
- Hands-on experience with cloud MLOPs offerings (AWS SageMaker Databricks etc.)
- Experience with distributed cloud computing platforms particularly Kubernetes or the Hadoop/Spark ecosystem
- Experience building and optimizing CICD pipelines
- Experience working with cloud data processing technologies
- Familiar with object-oriented programming
- Familiar with end-to-end development of ML models (data processing feature stores training and deployment) for predictive ML and GenAI
Benefits/Perks:
PTO
Sick Time
Additional Information:
The current hourly rate for this position is as follows and may be modified in the future: $28 (Undergraduate Students)/$32 (Graduate Students)
Why should you apply
Here at MBRDNA you create digital ecosystems around cars you design a language between humans and machines you make a car even more intelligent - you make the new reality for cars. MBRDNA was honored as one of the Best Places to Work by BuiltIn in January 2024 a testament to our commitment to creating an exceptional work environment. At each of our offices we foster a culture of collaboration and continuous learning ensuring every team member can thrive and innovate.
Benefits for Full-Time* Employees Include:
Medical dental and vision insurance for employees and their families
401(k) with employer match
Up to 15 company-paid holidays
Paid time off (flexible time off for salaried employees) sick time and parental leave
Tuition assistance program
Wellness/Fitness reimbursement programs
* Internships & Contractors excluded from Full-Time Employee benefits
MBRDNA is an equal opportunity employer (EOE) and strongly supports diversity in the workforce. MBRDNA only accepts resumes from approved agencies who have a valid Agency Agreement on file. Please do not forward resumes to our applicant tracking system MBRDNA employees or send to any MBRDNA location. MBRDNA is not responsible for any fees or claims related to receipt of unsolicited resumes.
Mercedes-Benz Research and Development North America Inc.
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